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Short Citation:
OCM Partners, 2022: 2015 MiSAIL Lidar: Emmet County, MI, https://www.fisheries.noaa.gov/inport/item/52418.

Item Identification

Title: 2015 MiSAIL Lidar: Emmet County, MI
Short Name: mi2015_emmet_m8512_metadata
Status: Completed
Publication Date: 2015
Abstract:

This metadata record describes the Classified Point Cloud (LAS) for the 2015 Michigan LiDAR project covering approximately 494 square miles, covering Emmet County.

The NOAA Office for Coastal Management (OCM) downloaded this lidar data from the USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_MI_13Co_Emmett_2015_LAS_2017/ and processed the data to be available on the Digital Coast Data Access Viewer (DAV).

In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are are available for custom download at the link provided in the URL section of this metadata record.

Purpose:

To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments, and hydrologic modeling. LAS data products are suitable for 1 foot contour generation. USGS LiDAR Base Specification 1.0, QL2. 24.5 cm FVA.

Supplemental Information:

This is the Spatial Reference Information for the data downloaded by NOAA OCM: Project Projection, Datums and Units. Projection - State Plane Michigan Central. Horizontal datum - North American Datum of 1983 (NAD83 (2011)). Vertical datum - North American Vertical Datum of 1988 (NAVD88) using the latest geoid (Geoid12a) for converting ellipsoidal heights to orthometric heights. Units - intl feet

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS Base Specification 1.0, QL2 meeting 24.5cm FVA",

"ldrsens" : "Leica ALS80",

"ldrmaxnr" : "4",

"ldrnps" : "0.65",

"ldrdens" : "1.67",

"ldradens" : "2.2",

"ldranps" : "0.71",

"ldrfltht" : "2250",

"ldrfltsp" : "135",

"ldrscana" : "32",

"ldrscanr" : "64",

"ldrpulsr" : "167",

"ldrpulsd" : "10",

"ldrpulsw" : "3",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.3",

"ldrswatw" : "1222",

"ldrswato" : "30",

"ldrcrs" : "NAD_1983_2011_State_Plane_Michigan_Central_FIPS_2112_Ft_Intl",

"ldrgeoid" : "NGS Geoid12a"

},

"ldraccur" : {

"ldrchacc" : "1.0",

"rawfva" : "0.080",

"clsfva" : "0.080",

"clscva" : "0.139",

"clssvas" : {

"svalctyp" : "LowVeg",

"svavalue" : "0.133"

},

"clssvas" : {

"svalctyp" : "MedVeg",

"svavalue" : "0.143"

},

"clssvas" : {

"svalctyp" : "HighVeg",

"svavalue" : "0.179"

}

},

"lasinfo" : {

"lasver" : "1.2",

"lasprf" : "1",

"laswheld" : "Withheld (ignore) points were identified in these files using class 10.",

"lasolap" : "Swath "overage" points were identified in these files by classifying to class 11.",

"lasintr" : "10",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare-earth"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "All noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "10",

"clasitem" : "Ignored Ground (Breakline Proximity)"

},

"lasclass" : {

"clascode" : "11",

"clasitem" : "Withheld (overlap)"

}

}}

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
None ALS80
None Bare Earth
None beach
None erosion
None First Return
None ground points
None Intensity return
None mapping
None Overlap points
None point cloud
None Water points

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MICHIGAN
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE

Instrument Keywords

Thesaurus Keyword
UNCONTROLLED
Global Change Master Directory (GCMD) Instrument Keywords Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
AIRCRAFT

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: Unknown
Data Presentation Form: point digital data (LAS)
Entity Attribute Detail Citation:

USGS Base Specification 1.0, QL2 meeting 24.5cm FVA

Distribution Liability:

The State of Michigan Geographic Information Systems digital data have been tested and their documentation carefully reviewed. However, the State of Michigan and its representatives make no warranty or representation, either expressed or implied, with respect to the digital data and their documentation, their quality, performance, merchantability, or fitness for a particular purpose. The digital data are distributed on "as is" basis, and the user assumes all risk to their quality, the results obtained from their use, and the performance of the data. In no event will the State of Michigan or its representatives be liable for any direct, indirect, special, incidental or consequential damages resulting from and defect in the State of Michigan or in their documentation. This disclaimer of warranty is exclusive and in lieu of all others, oral or written, express or implied. No agent or employee is authorized to make any modification, extension, or addition to this warranty.

Any conclusions drawn from the analysis of this information are not the responsibility of Sanborn, the State of Michigan, USGS, NOAA, the Office for Coastal Management or its partners.

Data Set Credit: State of Michigan (SOM)

Support Roles

Data Steward

CC ID: 751633
Date Effective From: 2018
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 751634
Date Effective From: 2018
Date Effective To:
Contact (Organization): Office for Coastal Management (OCM)
Address: 2234 South Hobson Avenue
Charleston, SC 29405-2413
URL: https://www.coast.noaa.gov/

Metadata Contact

CC ID: 751635
Date Effective From: 2018
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 751636
Date Effective From: 2018
Date Effective To:
Contact (Organization): Office for Coastal Management (OCM)
Address: 2234 South Hobson Avenue
Charleston, SC 29405-2413
URL: https://www.coast.noaa.gov/

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1141108
W° Bound: -85.120864
E° Bound: -84.729138
N° Bound: 45.789573
S° Bound: 45.269605

Extent Group 1 / Time Frame 1

CC ID: 1141107
Time Frame Type: Range
Start: 2015-05-01
End: 2015-05-05

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for custom or bulk downloads.

Data Access Constraints:

None

Data Use Constraints:

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

Distribution Information

Distribution 1

CC ID: 751640
Start Date: 2018
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8512
Distributor:
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base.

Compression: Zip

Distribution 2

CC ID: 751641
Start Date: 2018
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8512/index.html
Distributor:
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document.

File Type: LAZ

URLs

URL 1

CC ID: 751628
URL: https://coast.noaa.gov/
Name: NOAA's Office for Coastal Management (OCM) website
URL Type:
Online Resource
File Resource Format: HTML
Description:

Information on the NOAA Office for Coastal Management (OCM)

URL 2

CC ID: 751629
URL: https://coast.noaa.gov/dataviewer/
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML
Description:

The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.

URL 3

CC ID: 751630
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8512/supplemental/mi2015_emmet_m8512.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 4

CC ID: 751631
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8512/supplemental/mi2015_emmet_m8512_lidar_report.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

Technical Environment

Description:

Microsoft Windows 7; ESRI ArcCatalog 9.3.1.1850

Data Quality

Horizontal Positional Accuracy:

Horizontal positional accuracy for Emmet LiDAR is dependent upon the quality of the GPS/INS solution, sensor calibration and ground conditions at the time of data capture. The standard system results for horizontal accuracy meet or exceed the project specified 1.0 meter RMSE. This value is computed by comparing ground control to a DEM derived from the classified LiDAR data and represents the RMSE of residuals on controls within the project area.

Vertical Positional Accuracy:

For the DEM data derived from the classified point cloud, the FVA, SVA, and CVA were computed. The vertical accuracy was tested with independent survey check points located in various terrain types within Emmet County. These check points were not used in the calibration or post processing of the lidar point cloud data. The survey check points were distributed throughout the block area. Specifications for this project require that the FVA be 24.5 cm or better @ 95 percent confidence level. The RMSE values are as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.

FVA

0.041m RMSE, or 0.080FVA @ 95 percent confidence level in open terrain using RMSEz x 1.9600

The FVA was tested using 20 independent survey check points located in flat terrain types within Area 3. The survey checkpoints were distributed throughout the block area. The 20 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control.

CVA

0.076m RMSE, or 0.139m CVA @ 95th Percentile using all FVA and SVA class checkpoints (CVA)

The CVA was tested using 81 independent survey check points located in various terrain types within Area 3. The survey checkpoints were distributed throughout the block area. The 81 independent check points contained all FVA and SVA class points and were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control.

SVA

0.077m RMSE, or 0.133m SVA @ 95th Percentile

The SVA was tested using 20 independent survey check points located in low vegetation terrain types within Area 3. The survey checkpoints were distributed throughout the block area. The 20 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control.

0.093m RMSE, or 0.143m SVA @ 95th Percentile

The SVA was tested using 20 independent survey check points located in medium vegetation terrain types within Area 3. The survey checkpoints were distributed throughout the block area. The 20 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control.

0.083m RMSE, or 0.179m SVA @ 95th Percentile

The SVA was tested using 21 independent survey check points located in high vegetation terrain types within Area 3. The survey checkpoints were distributed throughout the block area. The 21 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control.

Completeness Report:

LiDAR data is collected for the project area. Post processing of the simultaneously acquired GPS/INS is performed and applied to the laser returns to output a point cloud in the specified project coordinate system and datums. The point cloud data is then subjected to automated classification routines to assign all points in the point cloud to ground, water, overlap and unclassified point classes. Anomalous laser returns that occur infrequently are removed entirely from the data set. Once clean bare earth points are established, DEMs are created using bare earth points and hydro features. The DEM surface is then compared to the survey checkpoints. These accuracies must pass the Fundamental Vertical Accuracy, Supplemental Vertical Accuracy, and Consolidated Vertical Accuracy specifications.

Conceptual Consistency:

LiDAR data is collected within the project area and processed. After the DEMs were created, the dataset was verified against control. Control was collected in 5 areas. Area 3 includes Emmet and Mackinac. Accuracy results are reported for area 3.

Lineage

Sources

Classified lidar

CC ID: 1141093
Extent Type: Discrete
Extent Start Date/Time: 2015
Scale Denominator: 1200
Source Contribution:

The classified lidar point cloud is used to derive various data products such as, but not limited to, bare earth gridded DEM, triangulated irregular networks (TIN), contours, digital surface models (DSM). The output format is fully compliant LAS v1.2 or v1.3, Point Record Format 1

Ground control

CC ID: 1141094
Publish Date: 2010-01-01
Extent Type: Discrete
Extent Start Date/Time: 2015
Source Contribution:

Targeted ground control is used to create a digital control file and control report as well as QC check of LiDAR accuracy. Predefined points (NGS when available) within the project area are targeted.

LiDAR Data

CC ID: 1141095
Extent Type: Discrete
Extent Start Date/Time: 2015
Source Contribution:

Aerial LiDAR and GPS/IMU data are recorded for the defined project area at an altitude, flight speed, scanner swath width and scanner pulse frequency to achieve the design goals of the project.

Post processed GPS/INS

CC ID: 1141096
Extent Type: Discrete
Extent Start Date/Time: 2015
Scale Denominator: 1200
Source Contribution:

Post processed GPS/INS is applied to the lidar point data to georeference each point in the project coordinate system

Post processed lidar

CC ID: 1141097
Extent Type: Discrete
Extent Start Date/Time: 2015
Scale Denominator: 1200
Source Contribution:

The post processed lidar data has been projected and oriented in the specified coordinate system as an un-classified point cloud.

Tile Definition

CC ID: 1141098
Extent Type: Discrete
Extent Start Date/Time: 2015
Scale Denominator: 1200
Source Contribution:

The tile definition defines discreet non-overlapping rectangular areas used as cut lines to break up the large classified lidar dataset into smaller, more manageable data tiles. Each tile is 2500ft by 2500ft in dimension.

Process Steps

Process Step 1

CC ID: 1141099
Description:

At selected locations throughout the site, accurate GPS coordinates and elevations are surveyed and the points are marked with targets.

Process Date/Time: 2015-01-01 00:00:00

Process Step 2

CC ID: 1141100
Description:

New LiDAR data is captured for the project area using a Leica ALS80 LiDAR instrument an integrated IPAS20 GPS/INS system mounted within a Aero Commander twin engine airplane.

Process Date/Time: 2015-01-01 00:00:00

Process Step 3

CC ID: 1141101
Description:

The airborne GPS data is post-processed in Inertial Explorer software and LEICA CloudPro software to determine the LiDAR sensor's angle and orientation in the terrain (project) coordinate system and datums during the survey.

Process Date/Time: 2015-01-01 00:00:00

Process Step 4

CC ID: 1141102
Description:

The post processed GPS/INS solution is applied to the raw lidar data to orient and project the data points into the project area reference system as an unclassified point cloud.

Process Date/Time: 2015-01-01 00:00:00

Process Step 5

CC ID: 1141103
Description:

The georeferenced lidar data is then classified and edited in Terrasolid Terrascan software. Data is classified to produce: Class 1: unclassified, Class 2: ground, Class 7: low point, Class 9: water, Class 10: ignored ground, Class 11: withheld.

Process Date/Time: 2015-01-01 00:00:00

Process Step 6

CC ID: 1141104
Description:

The classified lidar data is exported as 2500 X 2500 foot tiles in the LAS format with any or all classes required to produce derivative products.

Process Date/Time: 2015-01-01 00:00:00

Process Step 7

CC ID: 1141105
Description:

The NOAA Office for Coastal Management (OCM) downloaded 2345 laz files from ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_MI_13Co_Emmett_2015_LAS_2017/. The files contained elevation and intensity measurements for Emmet County, Michigan. The data were in Michigan State Plane Central coordinates and NAVD88 (Geoid12A) elevations in Int feet. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Noise, 9 - Water, 10 - Ignored Ground, 11- Overlap. The NOAA Office for Coastal Management processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 10, 12 (Overlap).

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. The LAStools software scripts lasinfo and lasvalidate were run on the laz files to check for errors.

2. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges.

3. Points classified as 11 were reclassified to 12 using las2las.

4. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12A model, to convert from Michigan State Plane Central coordinates to geographic coordinates, to convert from feet to meters, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.

Process Date/Time: 2018-03-29 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 52418
GUID: gov.noaa.nmfs.inport:52418
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2018-04-20 14:34+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2022-03-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16